Quantization
Collection
A collection of quantized models. All the models can be fine-tuned by adding a LoRA Adapter.
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84 items
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Updated
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3
Original Base Model: mistralai/Mistral-Nemo-Instruct-2407
.
Link: https://huggingface.co./mistralai/Mistral-Nemo-Instruct-2407
The INT-4 Quantized Mistral Nemo Instruct 2407 Model: https://huggingface.co./shuyuej/Mistral-Nemo-Instruct-2407-GPTQ
"quantization_config": {
"batch_size": 1,
"bits": 8,
"block_name_to_quantize": null,
"cache_block_outputs": true,
"damp_percent": 0.1,
"dataset": null,
"desc_act": false,
"exllama_config": {
"version": 1
},
"group_size": 128,
"max_input_length": null,
"model_seqlen": null,
"module_name_preceding_first_block": null,
"modules_in_block_to_quantize": null,
"pad_token_id": null,
"quant_method": "gptq",
"sym": true,
"tokenizer": null,
"true_sequential": true,
"use_cuda_fp16": false,
"use_exllama": true
},
Source Codes: https://github.com/vkola-lab/medpodgpt/tree/main/quantization.